Summary
Po-yu Liu is an Assistant Professor of Finance at National Taiwan University with a decade of experience at the intersection of empirical finance, big data analytics, and machine learning. Trained at HKU (PhD) and with a First Class Honours background in Electronic Engineering, he combines rigorous academic research with hands-on data engineering—having processed 100+GB datasets, built NLP pipelines, and applied deep learning to financial sentiment and trading problems. His industry experience includes high-frequency trading strategy development and enterprise-scale digital transformation as a data scientist, giving him practical fluency in production-ready analytics. Known for blending quantitative finance with advanced computational methods, he has published collaborative academic work and experimented with novel lexicon expansion and topic-modeling approaches on large financial corpora. Based in New Taipei, he brings a rare mix of engineering discipline, academic rigor, and applied insight into financial data science.
10 years of coding experience
3 years of employment as a software developer
The University of Hong Kong (HKU)
High School, Science Class (科學班), School ranking top 4%, High School, Science Class (科學班), School ranking top 4% at Taipei Municipal Jianguo High School
Exchange Study, Electrical Engineering, 3.83/4, Exchange Study, Electrical Engineering, 3.83/4 at University of California, Los Angeles
English, Chinese, Japanese